A measure of statistical displersion must yield a number which is zero if all the data are identical and must increase as the data are more diverse. A very important measure of dispersion is the [[standard deviation]], the square root of the [[variance]].
Other such measures include the [[statistical range]], the [[interquartile range]], and the [[absolute deviation]]. None of these can be negative, their least possible value is zero.
A measure of statistical displersion must yield a number which is zero if all the data are identical and must increase as the data are more diverse. A very important measure of dispersion is the [[StandardDeviation]], the square root of the [[Variance]].
Other such measures include the [[StatisticalRange]], the [[InterquartileRange]], and the [[AbsoluteDeviation]]. None of these can be negative, their least possible value is zero.
A measure of statistical displersion must yield a number which is zero if all the data are identical and must increase as the data are more diverse. A very important measure of dispersion is the standard deviation, the square root of the variance.
